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juliensimon/brown-dwarf-catalog

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Hugging Face2026-03-25 更新2026-03-29 收录
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--- license: cc-by-4.0 pretty_name: "Ultracool and Brown Dwarf Catalog (40 pc)" language: - en description: "Ultracool and brown dwarf catalog within 40 pc. JWST-relevant. Sourced via VizieR CDS Strasbourg." task_categories: - tabular-classification tags: - space - brown-dwarf - ultracool - jwst - stellar - astronomy - open-data size_categories: - 10K<n<100K --- # Ultracool and Brown Dwarf Catalog (40 pc) Comprehensive catalog of **14,168** ultracool and brown dwarfs within 40 parsecs, highly relevant for JWST atmospheric characterization studies. ## Dataset description Brown dwarfs are substellar objects too low in mass to sustain hydrogen fusion. Ultracool dwarfs (spectral types M7 and later) bridge the gap between the lowest-mass stars and giant planets. This volume-complete 40 pc sample from Sebastian et al. (2021) provides the most comprehensive census of the solar neighborhood's ultracool population, including L, T, and Y dwarfs ideal for JWST follow-up. ## Quick stats - **14,168** ultracool dwarfs within 40 pc - **14,168** with spectral type classification - **14,168** with distance estimates ## Usage ```python from datasets import load_dataset ds = load_dataset("juliensimon/brown-dwarf-catalog", split="train") df = ds.to_pandas() # T and Y dwarfs (coldest brown dwarfs) if "spectral_type" in df.columns: cold = df[df["spectral_type"].str.startswith(("T", "Y"), na=False)] print(f"{len(cold):,} T/Y dwarfs") # Nearest brown dwarfs if "distance_pc" in df.columns: nearby = df.dropna(subset=["distance_pc"]).sort_values("distance_pc").head(20) print(nearby[["ra_deg", "dec_deg", "distance_pc"]].to_string()) ``` ## Data source Sebastian, D. et al. (2021), "The census of the solar neighbourhood ultracool dwarf volume-complete 40 pc sample", A&A, 645, A100. Accessed via [VizieR](https://vizier.cds.unistra.fr/), CDS Strasbourg. ## Pipeline Source code: [juliensimon/space-datasets](https://github.com/juliensimon/space-datasets) ## License [CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/)
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